handle null values

Data Visualisation

Outlier Detection

Splitting Dependent and Independent variables

Encoding

Feature scaling

Splitting Data into Train and Test.

• Model Building-logistic regression

o   Import the model building Libraries
o   Initializing the model
o   Training and testing the model
o   Evaluation of Model
o   Save the Model

•Model Building-decision tree

o   Import the model building Libraries
o   Initializing the model
o   Training and testing the model
o   Evaluation of Model
o   Save the Model

•Model Building-Random forest

o   Import the model building Libraries
o   Initializing the model
o   Training and testing the model
o   Evaluation of Model
o   Save the Model